中文摘要：

正确识别面部表情对成功的社会交往有重要意义。面部表情识别受到情绪背景的影响。本文首先介绍了情绪背景对面部表情识别的增强作用，主要表现为视觉通道的情绪一致性效应和跨通道情绪整合效应；然后介绍了情绪背景对面部表情识别的阻碍作用，主要表现为情绪冲突效应和语义阻碍效应；接着介绍了情绪背景对中性和歧义面孔识别的影响，主要表现为背景的情绪诱发效应和阈下情绪启动效应；最后对现有研究进行了总结分析，提出了未来研究的建议。

英文摘要：

Facial expressions are a basic form of emotional communication. Correctly recognizing other＇ facial expressions plays a crucial role in social interaction. However, facial expressions usually do not appear in isolation but are often embedded in some emotion-loaded situations. That means, efficient emotion perception from a face cannot rely on facial expressions alone, but can be affected by the contexts. The purpose of this article was to review the studies addressing the contextual influences on the recognition of emotional facial expressions. There are two different types of promotion effect of emotional contexts on facial expression recognition： （1） the emotion-congruent effect in visual modal. When a facial expression appeared in a visual context, the emotional context will facilitate the recognition of the facial expression with the congruent emotional valence. This effect was demonstrated by decreased response time and increased accuracy at behavioral level, and increased amplitude of N170 and increased activation in left fusiform gyrus at neural level; （2） the integration effect of cross-modal emotional information. Studies found that context from other modals such as auditory and olfactory context could also facilitate the recognition of facial expressions. The inhibition effect of emotional contexts on facial expression recognition consists of two aspects： （1） the emotional conflict effect, which appears when the emotional valence of the target face was incongruent with the distraetor context. Studies concerning emotional conflict mainly adopted word-face Stroop and emotional Flanker paradigms. Moreover, the emotional conflict effect could also be induced by cross-modal emotional distractor （e.g., laughing at a fearful face）. Neural studies showed that the emotional conflict effect was associated with increased amplitude of the N400 component and a neural network （i.e., amygdala, dorsomedial/dorsolateral prefrontal gyrus and dorsal anterior cingulate for conflict monitoring and